Closed CarlKCarlK closed 4 years ago
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Hi Carl,
Thanks for checking in here. I believe that this is a duplicate of #155 and should be resolved on master. Did you install from pypi? If so, could you please upgrade to current master and give it a try?
On Sun, Apr 19, 2020 at 3:45 PM welcome[bot] notifications@github.com wrote:
👋 Thanks for opening your first issue here! We appreciate your help making Cloudknot better.
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That worked. (Namely:
pip uninstall cloudknot pip install git+https://github.com/richford/cloudknot.git ). Thanks! Thanks!
result_futures = knot.map(range(10), env_vars=[{'name': 'MY_ENV_VAR', 'value': 'foo'}])
- It only ran on one machine. I assume that is some AWS batch configuration I need to change.
- Instead of returning a list of one future, it returned just one future. I was surprised the return type (list vs singleton) seemed to depend on my AWS configuration, not my knot.map command. [If this seems interesting to track. Let me know and I'll post it as a new issue.]
On Sun, Apr 19, 2020 at 5:07 PM Carl Kadie notifications@github.com wrote:
That worked. (Namely:
pip uninstall cloudknot pip install git+https://github.com/richford/cloudknot.git ). Thanks! Thanks!
- Carl
Awesome. I will close this issue. More below:
- p.s. Minor thing I noticed: When I ran this from example_01:
result_futures = knot.map(range(10), env_vars=[{'name': 'MY_ENV_VAR', 'value': 'foo'}])
- It only ran on one machine. I assume that is some AWS batch configuration I need to change.
Batch tends to pack as many jobs as it can onto one machine. You can configure the instance type and memory requirements as key-word arguments to ck.Knot
- Instead of returning a list of one future, it returned just one future. I was surprised the return type (list vs singleton) seemed to depend on my AWS configuration, not my knot.map command. [If this seems interesting to track. Let me know and I'll post it as a new issue.]
Please do post an issue about this. I am curious what exactly you meant here.
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Also, please note that we just moved the repo to https://github.com/nrdg/cloudknot, so do not be alarmed/confused by that.
That for providing cloudknot.
I'm trying to run the 00 and 01 examples, but get this message.
I can't figure out how to figure out what is wrong. (There is nothing in the log. I set the logging level to logging.INFO.)
I'm running under an AWS administrator account that (on AWS) let me run little batch jobs.
My configuration may be new, but should work. It is Ubuntu under Windows. (Docker seems fine.). I've run Anaconda on Ubuntu under Windows routinely with other project.
Thanks for any suggestions you can provide.